Title: Quantitative Researcher/Developers

Employer: VIAC Services Company (Venerable)

Location: West Chester, PA

Job Description:

Evaluate the embedded market risks inherent to Variable Annuity products and builds an understanding of how those risks are strategically managed through a hedge program and investment portfolio while attempting to reduce risk to a strategically acceptable level. Assist in the research of theoretical valuation methodologies and models for derivatives and/or financial instruments. Assist in the implementation of practical valuation solutions for the business to utilize. Work toward attaining a high level of knowledge of the derivatives and/or investments contained in the company portfolio. Utilize code libraries for market consistent valuations, statistics, solve optimization problems, analytics and attributions. Enhance tools required to analyze strategic hedging, investment and business decisions and develop a strong knowledge of market parameters and their impact on the value of VA Products and financial/derivative instruments within the company portfolio. Performs research, ad-hoc analysis and report. Assists in the application of scalable technology to support the business and enhance the efficiency of our main profit centers and manage large data sets; consultation on database structures, organize data, and work on database optimization and testing new system components and features.

Minimum Requirements:

Master’s degree or foreign equivalent in Quantitative Finance, Data Analytics, Computer Science, or closely related field. Must have experience or academic training with the following: Statistics, Modeling, and Regression; performing Quantitative/analytic reasoning, problem-solving abilities, and applying numerical methods to business problems; knowledge of systems design and development principles, database design, optimization and technologies; utilizing reporting tools SQL and PowerBI; performing data analysis utilizing Python and/or R; and designing & developing ETL processes using tools like SSIS or Knime to extract, transform, and load data from multiple sources.

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